A fast and effective partitional clustering algorithm for large categorical datasets using a k-means based approach

Partitional clustering algorithms represent an interesting issue in pattern recognition due to their high scalability and efficiency. The k-means, proposed since 1965, had shown great efficiency for numeric clustering but is unfortunately inadequate for categorical clustering. In 1998, the k-modes w...

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